#!/usr/bin/env python3
"""
Lightweight Strategy Base Class

This module provides a simplified strategy base class to replace Hummingbot's
ScriptStrategyBase, allowing us to run trading strategies without the full
Hummingbot framework installation.
"""

import asyncio
import logging
import time
from abc import ABC, abstractmethod
from decimal import Decimal
from typing import Dict, List, Optional, Any
from enum import Enum


class OrderType(Enum):
    """Order types"""
    MARKET = "market"
    LIMIT = "limit"
    STOP = "stop"
    STOP_LIMIT = "stop_limit"


class TradeType(Enum):
    """Trade types"""
    BUY = "buy"
    SELL = "sell"


class PositionSide(Enum):
    """Position side enumeration"""
    LONG = "LONG"
    SHORT = "SHORT"
    BOTH = "BOTH"


class PositionAction(Enum):
    """Position action enumeration"""
    OPEN = "OPEN"
    CLOSE = "CLOSE"
    NIL = "NIL"


class Position:
    """Position representation"""
    
    def __init__(self,
                 trading_pair: str,
                 position_side: PositionSide,
                 unrealized_pnl: Decimal,
                 entry_price: Decimal,
                 amount: Decimal,
                 leverage: Decimal = Decimal("1")):
        self.trading_pair = trading_pair
        self.position_side = position_side
        self.unrealized_pnl = unrealized_pnl
        self.entry_price = entry_price
        self.amount = amount
        self.leverage = leverage


class OrderBook:
    """Order book representation"""
    
    def __init__(self, trading_pair: str):
        self.trading_pair = trading_pair
        self.bids = []
        self.asks = []
        self.last_trade_price = Decimal("0")


class MarketEvent:
    """Market event base class"""
    
    def __init__(self, timestamp: Optional[int] = None):
        self.timestamp = timestamp or int(time.time() * 1000)


class OrderFilledEvent:
    """Order filled event"""
    
    def __init__(self, 
                 trading_pair: str,
                 trade_type: TradeType,
                 amount: Decimal,
                 price: Decimal,
                 order_id: str = "",
                 timestamp: Optional[int] = None):
        self.trading_pair = trading_pair
        self.trade_type = trade_type
        self.amount = amount
        self.price = price
        self.order_id = order_id
        self.timestamp = timestamp or int(time.time() * 1000)


class OrderFailedEvent:
    """Order failed event"""
    
    def __init__(self,
                 trading_pair: str,
                 order_id: str,
                 error_message: str,
                 timestamp: Optional[int] = None):
        self.trading_pair = trading_pair
        self.order_id = order_id
        self.error_message = error_message
        self.timestamp = timestamp or int(time.time() * 1000)


class LimitOrder:
    """Limit order representation"""
    
    def __init__(self,
                 client_order_id: str,
                 trading_pair: str,
                 is_buy: bool,
                 base_currency: str,
                 quote_currency: str,
                 price: Decimal,
                 quantity: Decimal,
                 creation_timestamp: Optional[int] = None):
        self.client_order_id = client_order_id
        self.trading_pair = trading_pair
        self.is_buy = is_buy
        self.base_currency = base_currency
        self.quote_currency = quote_currency
        self.price = price
        self.quantity = quantity
        self.creation_timestamp = creation_timestamp or int(time.time() * 1000)
        self.filled_quantity = Decimal("0")
        self.status = "open"


class StrategyBase(ABC):
    """
    Base class for trading strategies
    
    This class provides the basic framework for implementing trading strategies
    without requiring the full Hummingbot installation.
    """
    
    def __init__(self, connectors: Dict[str, Any]):
        """
        Initialize the strategy
        
        Args:
            connectors: Dictionary of exchange connectors
        """
        self.connectors = connectors
        self._logger = logging.getLogger(self.__class__.__name__)
        self._is_running = False
        self._tick_interval = 1.0  # Default 1 second
        self._last_tick_time = 0
        
        # Event handlers
        self._order_filled_handlers = []
        self._order_failed_handlers = []
        
        self._logger.info(f"Initialized {self.__class__.__name__}")
    
    @property
    def current_timestamp(self) -> float:
        """Get current timestamp"""
        return time.time()
    
    @property
    def is_running(self) -> bool:
        """Check if strategy is running"""
        return self._is_running
    
    async def start(self):
        """Start the strategy"""
        if self._is_running:
            self._logger.warning("Strategy is already running")
            return
        
        self._logger.info("Starting strategy...")
        self._is_running = True
        
        # Start the main strategy loop
        asyncio.create_task(self._strategy_loop())
        
        self._logger.info("Strategy started")
    
    async def stop(self):
        """Stop the strategy"""
        if not self._is_running:
            self._logger.warning("Strategy is not running")
            return
        
        self._logger.info("Stopping strategy...")
        self._is_running = False
        
        self._logger.info("Strategy stopped")
    
    async def _strategy_loop(self):
        """Main strategy execution loop"""
        while self._is_running:
            try:
                current_time = time.time()
                
                # Check if it's time for the next tick
                if current_time - self._last_tick_time >= self._tick_interval:
                    self.on_tick()
                    self._last_tick_time = current_time
                
                # Small sleep to prevent excessive CPU usage
                await asyncio.sleep(0.1)
                
            except Exception as e:
                self._logger.error(f"Error in strategy loop: {e}")
                await asyncio.sleep(1)  # Wait before retrying
    
    @abstractmethod
    def on_tick(self):
        """Called on each strategy tick - must be implemented by subclasses"""
        pass
    
    def did_fill_order(self, event: OrderFilledEvent):
        """Handle order fill events - can be overridden by subclasses"""
        self._logger.info(
            f"Order filled: {event.trade_type.value} {event.amount} {event.trading_pair} at {event.price}"
        )
    
    def did_fail_order(self, event: OrderFailedEvent):
        """Handle order failure events - can be overridden by subclasses"""
        self._logger.error(
            f"Order failed: {event.trading_pair} - {event.error_message}"
        )
    
    def buy_with_specific_market(self,
                               connector_name: str,
                               trading_pair: str,
                               amount: Decimal,
                               order_type: OrderType = OrderType.MARKET,
                               price: Optional[Decimal] = None) -> str:
        """Place a buy order"""
        try:
            connector = self.connectors.get(connector_name)
            if not connector:
                raise ValueError(f"Connector {connector_name} not found")
            
            # This would be implemented by the actual connector
            # For now, we'll simulate the order placement
            order_id = f"buy_{int(time.time() * 1000)}"
            
            self._logger.info(
                f"Placing buy order: {amount} {trading_pair} at {price or 'market'} on {connector_name}"
            )
            
            return order_id
            
        except Exception as e:
            self._logger.error(f"Error placing buy order: {e}")
            raise
    
    def sell_with_specific_market(self,
                                connector_name: str,
                                trading_pair: str,
                                amount: Decimal,
                                order_type: OrderType = OrderType.MARKET,
                                price: Optional[Decimal] = None) -> str:
        """Place a sell order"""
        try:
            connector = self.connectors.get(connector_name)
            if not connector:
                raise ValueError(f"Connector {connector_name} not found")
            
            # This would be implemented by the actual connector
            # For now, we'll simulate the order placement
            order_id = f"sell_{int(time.time() * 1000)}"
            
            self._logger.info(
                f"Placing sell order: {amount} {trading_pair} at {price or 'market'} on {connector_name}"
            )
            
            return order_id
            
        except Exception as e:
            self._logger.error(f"Error placing sell order: {e}")
            raise
    
    def cancel_order(self, connector_name: str, trading_pair: str, order_id: str):
        """Cancel an order"""
        try:
            connector = self.connectors.get(connector_name)
            if not connector:
                raise ValueError(f"Connector {connector_name} not found")
            
            self._logger.info(f"Cancelling order {order_id} on {connector_name}")
            
            # This would be implemented by the actual connector
            
        except Exception as e:
            self._logger.error(f"Error cancelling order: {e}")
            raise
    
    def get_balance(self, connector_name: str, asset: str) -> Decimal:
        """Get balance for an asset"""
        try:
            connector = self.connectors.get(connector_name)
            if not connector:
                raise ValueError(f"Connector {connector_name} not found")
            
            # This would be implemented by the actual connector
            # For now, return a placeholder
            return Decimal("0")
            
        except Exception as e:
            self._logger.error(f"Error getting balance: {e}")
            return Decimal("0")
    
    def get_price(self, connector_name: str, trading_pair: str) -> Optional[Decimal]:
        """Get current price for a trading pair"""
        try:
            connector = self.connectors.get(connector_name)
            if not connector:
                raise ValueError(f"Connector {connector_name} not found")
            
            # This would be implemented by the actual connector
            # For now, return None
            return None
            
        except Exception as e:
            self._logger.error(f"Error getting price: {e}")
            return None
    
    def format_status(self) -> str:
        """Format strategy status for display - can be overridden by subclasses"""
        return f"Strategy: {self.__class__.__name__}\nStatus: {'Running' if self._is_running else 'Stopped'}"
    
    def set_tick_interval(self, interval: float):
        """Set the tick interval in seconds"""
        self._tick_interval = max(0.1, interval)  # Minimum 100ms
        self._logger.info(f"Tick interval set to {self._tick_interval} seconds")


class MockConnector:
    """
    Mock connector for testing purposes
    """
    
    def __init__(self, name: str):
        self.name = name
        self.ready = True
        self._logger = logging.getLogger(f"MockConnector_{name}")
    
    async def start_network(self):
        """Start the connector"""
        self._logger.info(f"Started {self.name} connector")
    
    async def stop_network(self):
        """Stop the connector"""
        self._logger.info(f"Stopped {self.name} connector")
    
    def get_balance(self, asset: str) -> Decimal:
        """Get mock balance"""
        return Decimal("1000")  # Mock balance
    
    def get_order_book(self, trading_pair: str):
        """Get mock order book"""
        return None
    
    def get_position(self, trading_pair: str):
        """Get mock position"""
        return None